Evaluating the Cost of Frequency Diversity in Communication and Routing Overview Jorge Ortiz* ♦ David Culler* Causes of Loss  Pairs of nodes sharing a.

Slides:



Advertisements
Similar presentations
Communications Research Centre (CRC) Defence R&D Canada – Ottawa 1 Properties of Mobile Tactical Radio Networks on VHF Bands Li Li & Phil Vigneron Communications.
Advertisements

SoNIC: Classifying Interference in Sensor Networks Frederik Hermans et al. Uppsala University, Sweden IPSN 2013 Presenter: Jeffrey.
Transmission Power Control in Wireless Sensor Networks CS577 Project by Andrew Keating 1.
Maximum Battery Life Routing to Support Ubiquitous Mobile Computing in Wireless Ad Hoc Networks By C. K. Toh.
pTunes: Runtime Parameter Adaptation for Low-power MAC Protocols
Network Layer Routing Issues (I). Infrastructure vs. multi-hop Infrastructure networks: Infrastructure networks: ◦ One or several Access-Points (AP) connected.
Madhavi W. SubbaraoWCTG - NIST Dynamic Power-Conscious Routing for Mobile Ad-Hoc Networks Madhavi W. Subbarao Wireless Communications Technology Group.
1 Estimation of Link Interference in Static Multi-hop Wireless Networks Jitendra Padhye, Sharad Agarwal, Venkat Padmanabhan, Lili Qiu, Ananth Rao, Brian.
Characterization of Wireless Networks in the Home Michael Bruno James Lawrence 1.
Multichannel Reliability Assessment in Real World WSNs Jorge Ortiz and David Culler University of California at Berkeley 9 th Int. Conf. on Information.
1/24 Passive Interference Measurement in Wireless Sensor Networks Shucheng Liu 1,2, Guoliang Xing 3, Hongwei Zhang 4, Jianping Wang 2, Jun Huang 3, Mo.
Arsitektur Jaringan Terkini
1-1 CMPE 259 Sensor Networks Katia Obraczka Winter 2005 Transport Protocols.
When does opportunistic routing make sense? Rahul C. Shah, Jan Rabaey University of California, Berkeley Sven Wiethölter, Adam Wolisz Technical University,
Characterization of Wireless Networks in the Home Mark Yarvis, Konstantina Papagiannaki, and W. Steven Conner Presented by Artur Janc, Eric Stein.
More routing protocols Alec Woo June 18 th, 2002.
Performance Comparison of Routing Protocols for Ad Hoc Networks PATTERN ENDIF Ferrara.
IEEE OpComm 2006, Berlin, Germany 18. September 2006 A Study of On-Off Attack Models for Wireless Ad Hoc Networks L. Felipe Perrone Dept. of Computer Science.
Self-Management in Chaotic Wireless Deployments A. Akella, G. Judd, S. Seshan, P. Steenkiste Presentation by: Zhichun Li.
CIS 640 WaveLAN - Measurement and Analysis Yerang Hur Department of Computer and Information Science Jan. 22, 1998.
Radio Stack Iteration How to improve the CC1000 Joe Polastre January 15, 2004 NEST Retreat.
1 Ultra-Low Duty Cycle MAC with Scheduled Channel Polling Wei Ye Fabio Silva John Heidemann Presented by: Ronak Bhuta Date: 4 th December 2007.
Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks.
Adaptive Self-Configuring Sensor Network Topologies ns-2 simulation & performance analysis Zhenghua Fu Ben Greenstein Petros Zerfos.
CC2420 Channel and RSSI Evaluation Nov/22/2006 Dept. of EECS, UC Berkeley C O nnect vityLab i.
A Transmission Control Scheme for Media Access in Sensor Networks Alec Woo, David Culler (University of California, Berkeley) Special thanks to Wei Ye.
Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks CENTS Retreat – May 26, 2005 Jaein Jeong (1), David Culler (1),
5-1 Data Link Layer r What is Data Link Layer? r Wireless Networks m Wi-Fi (Wireless LAN) r Comparison with Ethernet.
Energy Conservation in wireless sensor networks Kshitij Desai, Mayuresh Randive, Animesh Nandanwar.
1 Algorithms for Bandwidth Efficient Multicast Routing in Multi-channel Multi-radio Wireless Mesh Networks Hoang Lan Nguyen and Uyen Trang Nguyen Presenter:
DETERMINATION OF THE TOPOLOGY OF HIGH SURVIVAL HF RADIO COMMUNICATION NETWORK Andrea Abrardo.
End-to-End Delay Analysis for Fixed Priority Scheduling in WirelessHART Networks Abusayeed Saifullah, You Xu, Chenyang Lu, Yixin Chen.
Study of Actual State of Wireless Technology in Residential Environments Mo Sha Peng Li Jing Xia.
BMWnet Wshnt.kuas.edu.tw Mesh Networks Prof. W.S. Hwang.
Special Topics on Algorithmic Aspects of Wireless Networking Donghyun (David) Kim Department of Mathematics and Computer Science North Carolina Central.
COGNITIVE RADIO FOR NEXT-GENERATION WIRELESS NETWORKS: AN APPROACH TO OPPORTUNISTIC CHANNEL SELECTION IN IEEE BASED WIRELESS MESH Dusit Niyato,
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences 1 Cooperative Wireless.
Copyright © 2006, Dr. Carlos Cordeiro and Prof. Dharma P. Agrawal, All rights reserved. 1 Carlos Cordeiro Philips Research North America Briarcliff Manor,
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Network Wei-Peng Chen, Jennifer C. Hou, Lui Sha.
College of Engineering Non-uniform Grid- based Coordinated Routing Priyanka Kadiyala Major Advisor: Dr. Robert Akl Department of Computer Science and Engineering.
Data Communications and Networking CSCS 311 Lecture 2 Amjad Hussain Zahid.
Link Estimation, CTP and MultiHopLQI. Motivation Data Collection needs to estimate the link quality –To select a good link.
IEEE Globecom 2010 Tan Le Yong Liu Department of Electrical and Computer Engineering Polytechnic Institute of NYU Opportunistic Overlay Multicast in Wireless.
Marginal Value of Multiple Channels in Real World WSNs Jorge Ortiz and David Culler CS262B Final Project.
Dynamic Transmission Power Control in Wireless Ad-Hoc Networks EE194 Wireless Sensor Networks Stuart Peloquin & Joe Cerra.
TRICKLE: A Self-Regulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks Philip Levis, Neil Patel, Scott Shenker and David.
MOJO: A Distributed Physical Layer Anomaly Detection System for WLANs Richard D. Gopaul CSCI 388.
Link Estimation, CTP and MultiHopLQI. Learning Objectives Understand the motivation of link estimation protocols – the time varying nature of a wireless.
1 A Distributed Architecture for Multimedia in Dynamic Wireless Networks By UCLA C.R. Lin and M. Gerla IEEE GLOBECOM'95.
An Adaptive, High Performance MAC for Long- Distance Multihop Wireless Networks Presented by Jason Lew.
Wireless and Mobility The term wireless is normally used to refer to any type of electrical or electronic operation which is accomplished without the use.
Improving Link Quality by Exploiting Channel Diversity in Wireless Sensor Networks Manjunath D, Mun Choon Chan, and Ben Leong National University of Singapore.
Network and Systems Laboratory nslab.ee.ntu.edu.tw Branislav Kusy, Christian Richter, Wen Hu, Mikhail Afanasyev, Raja Jurdak, Michael Brunig, David Abbott,
EM-MAC: A Dynamic Multichannel Energy-Efficient MAC Protocol for Wireless Sensor Networks Bonhyun Koo Lei Tang*, Yanjun Sun †, Omer Gurewitz.
Department of Computer Science and Engineering UESTC 1 RxLayer: Adaptive Retransmission Layer for Low Power Wireless Daibo Liu 1, Zhichao Cao 2, Jiliang.
Syed Hassan Ahmed Syed Hassan Ahmed, Safdar H. Bouk, Nadeem Javaid, and Iwao Sasase RIU Islamabad. IMNIC’12, RIU Islamabad.
Low Power, Low Delay: Opportunistic Routing meets Duty Cycling Olaf Landsiedel 1, Euhanna Ghadimi 2, Simon Duquennoy 3, Mikael Johansson 2 1 Chalmers University.
1 A Cross-Layer Architecture to Exploit Multi-Channel Diversity Jay A. Patel, Haiyun Luo, and Indranil Gupta Department of Computer Science University.
SEA-MAC: A Simple Energy Aware MAC Protocol for Wireless Sensor Networks for Environmental Monitoring Applications By: Miguel A. Erazo and Yi Qian International.
1 Photo: San Onofre Nuclear Generating Station Radio Channel Quality in Industrial Sensor Networks Daniel Sexton, Jay Werb SICon 05 February 9 th 2005.
An Adaptive, High Performance MAC for Long-Distance Multihop Wireless Networks Sergiu Nedevschi *, Rabin K. Patra *, Sonesh Surana *, Sylvia Ratnasamy.
RM-MAC: A Routing-Enhanced Multi-Channel MAC Protocol in Duty-Cycle Sensor Networks Ye Liu, Hao Liu, Qing Yang, and Shaoen Wu In Proceedings of the IEEE.
1 11 Distributed Channel Assignment in Multi-Radio Mesh Networks Bong-Jun Ko, Vishal Misra, Jitendra Padhye and Dan Rubenstein Columbia University.
EM-MAC: A Dynamic Multichannel Energy-Efficient MAC Protocol for Wireless Sensor Networks ACM MobiHoc 2011 (Best Paper Award) Lei Tang 1, Yanjun Sun 2,
MAC Protocols for Sensor Networks
A Measurement Study of Interference Modeling and Scheduling in LPWN Ritesh Maheshwari, Shweta Jain, Samir R. Das Department of Computer Science Stony Brook.
Channel Allocation (MAC)
Presentation by Andrew Keating for CS577 Fall 2009
Study of performance of regular TCP in MANETs (using simulator).
<month year> <doc.: IEEE doc> January 2013
Presentation transcript:

Evaluating the Cost of Frequency Diversity in Communication and Routing Overview Jorge Ortiz* ♦ David Culler* Causes of Loss  Pairs of nodes sharing a vertex may not share a common communication channel  2 Transmissions necessary for either multiple frequency transmission of multihop routing  How much do we need frequency diversity?  Goal: pin down view of the network under various levels of external interference  Examine the various factors that cause loss  Observe and quantify how routing diversity can improve communication efficiency and robustness  may not interfere as much as we think  Find a good channel and stick to it  Establish channel and connectivity comparison metrics Methodology  Peak hours see the highest average noise floor in the mid- afternoon between 4pm-4:15pm  Most channels are free most of the time throughout the entire network  On channel 17 in the worst time interval, only 21% of the samples are greater than -77 dBm (the default clear-to-send threshold CC2420 Radio)  Plenty of opportunities for transmission by motes Network-Wide Noise Observations Temporal Dynamics  How do graphs change over time?  What’s the distance between the best and worst network topologies?  To what extent can we simply rely on route diversity, rather than frequency diversity, to improve communication efficiency?  Do the quality of links necessarily get better? Current Results and Status  Sufficient connectivity even during peak traffic hours on worst channels  channels that do not overlap with channels experience little change between peak traffic hours and quiet hours  channels are static and therefore the best channels do not change  Network topology (route diversity) may make the need for multiple channels irrelevant  How do non-office environments look? Would link and connectivity behavior be similar?  More sampling and experimentation  What does this mean for MAC and Routing protocol design? Future Work RSSI (dBm) Peak Time Quiet Time Link Quality Comparison  Interested in real networks: use traces  Noise Monitoring: Wi-Spy Spectrum Analyzer and passive RSSI mote monitoring  Connectivity: Round-robin 100-packet broadcasts with 20 ms inter-packet transmission interval on each of 16 channels  MicaZ motes  163,200 transmissions, 1,781,231 receptions  10 Access Points in Computer Science Building’s 4 th floor A B C 1 2  Internal Interference  Collisions from cross traffic within nodes in the same network  External Interference  traffic and devices that do not play nice with  Microwave oven, cordless phones, physical obstructions  Radio irregularities  Narrow-band fading  Choose optimal routes in topology graph according to a route selection criteria Channel Grade (%)Duty Cycle *{jortiz, EECS UC Berkeley